Triple
T21398771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Criss Cross |
E527856
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Criss Cross |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Criss Cross | Statement: [Criss Cross, title, Criss Cross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Criss Cross Context triple: [Criss Cross, title, Criss Cross]
-
A.
Criss Cross
chosen
Criss Cross is a 1949 film noir crime drama starring Burt Lancaster and Yvonne De Carlo, known for its tale of a doomed heist and fatalistic romance.
-
B.
Criss Cross
Criss Cross is a crime thriller novel in James Patterson’s long-running Alex Cross series, following the detective as he confronts a taunting serial killer tied to his past cases.
-
C.
Crisscross
Crisscross is a thriller novel by F. Paul Wilson featuring his recurring antihero Repairman Jack in a blend of supernatural mystery and action.
-
D.
"At the Crossroads"
"At the Crossroads" is the English title of the Israeli film "Al Parashat Derakhim," a drama exploring intersecting lives and moral choices.
-
E.
Cross Crossing
Cross Crossing is a notable junction and commercial area in San Fernando, Trinidad and Tobago, known for its busy traffic flow and surrounding businesses.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee62cf3e808190847ad66d2e65f9f2 |
completed | April 26, 2026, 7:09 p.m. |
Created at: April 16, 2026, 5:14 p.m.